Respirometry data for cactus mice (Peromyscus eremicus) corresponding to Colella et al. 2021
Description
Metabolism is a complex phenotype shaped by natural environmental rhythms, as well as behavioral, morphological, and physiological adaptations. Metabolism has been historically studied under constant environmental conditions, but new methods of continuous metabolic phenotyping now offer a window into organismal responses to dynamic environments, and enable identification of abiotic controls and the timing of physiological responses relative to environmental change. We use indirect calorimetry to characterize metabolic phenotypes of the desert-adapted cactus mouse (Peromyscus eremicus) in response variable environmental conditions that mimic their native environment versus those recorded under constant warm and constant cool conditions, while using a constant photoperiod and full access to resources. We found significant sexual dimorphism, with males being more prone to dehydration than females. Under circadian environmental variation, most metabolic shifts occurred prior to physical environmental change and the timing was disrupted under both constant temperature-humidity treatments. The ratio of CO2 produced to O2 consumed (the respiratory quotient) reached greater than 1.0, only during the light phase under diurnally variable conditions, a pattern that strongly suggests that lipogenesis is contributing to the production of energy and endogenous water. Our results are consistent with historical descriptions of circadian torpor in this species (torpid by day, active by night), but reject the hypothesis that torpor is initiated by food restriction or negative water balance.
Notes
Raw data from the Sable Systems International Field Metabolic system was processed using the two macro scripts uploaded here: extract-means-Matt-120sec.txt and VO2-VCO2-H2O-120sec_per_cage.txt,
Data: analysis_data_final_2July2020.csv is a comma delimited file containing respirometry data for male and female cactus mice for 3 treatment groups (i) baseline/diurnally variable envrionmental conditions, (ii), constant hot and dry conditions, (iii) constant cool and wet conditions.
Columns:
Sex = M/F indicating Male/Female
EE = energy expenditure
H2Omg = relative water loss (RWL; mg)
RQ = respiratory quotient (ratio of VCO2 / VO2)
Animal_ID = individual animal identifier
Deg_C = temperature in Celcius
weight = animal weight in grams (g)
experiment = eperimental treatment group (BL = baseline, Hot, Cold)
StartTime = time of measurment initiation (format = "%H:%M:%S")
SD_VCO2 = standard deviation (SD) of VCO2
SD_VO2 = standard deviation (SD) of VO2
VO2 = VO2 estimate for a particular recording
VCO2 = VCO2 estimate for a particular recording
StartDate = Date (format = "%Y-%m-%d") of a particular recording
hour = integer indicating the hour of a particular 120s recording
all_noOL_F.csv and all_noOL_M.csv = Female and male subsets of analysis_data_final_2July2020.csv with outliers (> 3 standard deviations) removed
Once processed, csv's can be analyzed following scripts available at: github.com/jpcolella/peer_respo/
Funding provided by: National Institutes of Health
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000002
Award Number: 1R35GM128843: National Institute of General Medical Sciences
Files
8_cage_120_sec.csv
Files
(159.6 MB)
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Additional details
Related works
- Is derived from
- 10.5281/zenodo.5498341 (DOI)